Fuzzy Logic for Machining Applications

D. Zindani, A. Roy, Kaushik Kumar, J. Davim
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引用次数: 1

Abstract

There have been umpteen research reports on the usage of artificial intelligence (AI) strategies for modelling various machining processes. One of the well-known AI strategies is that of fuzzy logic (FL) techniques that has been used for prediction of machining performance variables for both the categories of machining processes and controls the machining process. Given the increasing trend of FL in machining, the chapter reviews the application of fuzzy logic in modelling and controlling the machining processes. The work begins with introduction section and then proceeds to discuss the importance role played by FL strategies in the traditional and modern manufacturing processes. The work summarizes some of the major applications of FL-based systems in various machining processes. Limitations, advantages, and the improvements to minimize the limitations are then discussed. The authors of the chapter hope that the review will aid all those researching in the domain of manufacturing sciences and their optimization techniques.
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模糊逻辑在加工中的应用
关于使用人工智能(AI)策略对各种加工过程进行建模的研究报告很多。众所周知的人工智能策略之一是模糊逻辑(FL)技术,该技术已用于预测加工过程类别的加工性能变量和控制加工过程。鉴于模糊逻辑在机械加工中的发展趋势,本章综述了模糊逻辑在机械加工过程建模和控制中的应用。工作从介绍部分开始,然后继续讨论FL战略在传统和现代制造过程中所起的重要作用。本文总结了基于人工智能的系统在各种加工过程中的一些主要应用。然后讨论了限制、优点和最小化限制的改进。本章的作者希望这篇综述对所有在制造科学及其优化技术领域的研究人员有所帮助。
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